This project seeks to estimate sport fish harvest and releases of rockfish in Alaska waters by improving on the Howard et al. (2020) methods and expand the time series back to 1977 when the statewide harvest survey (SWHS) was first implemented. This is essentially a Bayesian version of the Howard methods that allows for more appropriate and defensible sharing of information between areas, handles missing data in a more appropriate manor, accurately propagates uncertainty throughout the estimation procedure and replaces the Howard decision tree approach to low sample sizes with a hierarchical model. The methods and results for generating harvest estimates are generally consistent between the Bayesian model and the Howard methods. Harvest estimates are consistent with Howard estimates during contemporary times, but may differ based on more appropriate weighting of SWHS and logbook data, including estimating and correcting bias in the SWHS data.

**Table 1.** Summary of key improvements in reconstructiing sport fish removals of rockfish using the Bayesian model as compared to the Howard et al. (2020) methods.
Issue	Howard	Bayes
Time series	1999 - present	1977 - present
Bias in SWHS	Not explicitly dealt with. Relies on logbook data and ratios of guided/unguided from SWHS data to estimate unguided releases and harvests.	Explicitly estimates bias in SWHS harvest and release estimates based on logbook data.
Species composition of releases	Assumes that species composition of releases is equal to that of the harvest, which is not evident in the logbook data.	Recognizes different release probabilities by species / species assemblage and estimates it from logbook data and bias corrected SWHS data
Sample size limitations	Uses sample size threshholds such that when areas fall below those threshholds values are borrowed from nearby areas.	Uses a hierarchichacal modelling approach that shares information between areas in the same region. Thus all data is used, even with small sample sizes. This is a more sound method that avoids assumptions and uses all of the data.
Error propogation	Error is propogated when variance estimates are available, but there is uncertainty associated with borrowing values from nearby areas, or the assumption of species compositions being identical in harvest and releases, are not dealt with.	By breaking the assumption that species composition is equal between harvests and releases, uncertainty in the release estimates is more reflective of the fishery. Furthermore, the hyerarchichal approach more accurately captures uncertainy within and between areas within a region.

Figure 1.- Data sources for estimating rockfish harvests and releases in ADF&G commercial fisheries management units. Note that initial rockfish harvest estimates were not differentiated into species assemblage or species until 1998 when logbooks began differentiating by pelagic and non-pelagic. Logbooks began to collect data on yelloweye beginning in 2006. Port sampling programs to gather data on species composition of harvests began in 1996 in Southcentral and Kodiak and in 2006 in Southeast.

Figure 2.- SWHS harvest (left) and release (right) estimates from guided trips (x-axis) versus repoted harvests from charter logbooks (y-axis).

Results

Model: LB_fit_3pH
Model Run: Gen4int_indcomp_swhsR_FULL_pHB4pars_re0full_altwt_2xcvSEo_thru2024_5e+05_SE06ex_2026-01-05 (Naming convention: modelname_thruYEAR_iters_rundate)
Proportion of parmaters converged (Rhat <= 1.1): 0.9982
See end of document for summary of unconverged parameters.

Figure X.- Rhat values and proportion of parameters that converged (Rhat < 1.1.)

Estimate comparison

Since previous estimates of rockfish harvest have been produced these first 3 graphs will be used to show how the modeled estimates compare to the estimates produced earlier. For total rockfish the estimates are in general agreement although differences are noted. These estimates should be more reliable because they include both SWHS and guide logbook data, handle variance more appropriately, use hierarchical distributions when data is missing, directly consider observation error and are produced using reproducible research.

Figure 3.- Total rockfish harvests 1996-2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 3.- Total rockfish releases 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Notes from Adam: When looking at only black rockfish the most significant differences are for the Prince William Sound Inside area. I did not spend a great deal of time tracking this down although it looks like the previous version used bad values for \(P_{(black)ayu}\) for at least unguided anglers. For the moment I would ignore the results for BSIA and SOKO2SAP. I think it is possible to give approximate values for these areas but it will require a little more coding which I have yet to do.

Figure 4.- Black rockfish harvests 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

And black rockfish releases…

Figure 5.- Black rockfish releases 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 6.- Yellow rockfish harvests 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 7.- Yellow rockfish releases 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 8.- DSR rockfish (excluding yelloweye) harvests 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 9.- DSR rockfish releases (including yelloweye) 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 11.- Slope rockfish harvests 1996-2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 12.- Slope rockfish releases 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 13.- Other rockfish (non-pelagic and non-yelloweye) harvests 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 14.- Other rockfish (non-pelagic and non-yelloweye) releases 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Total Biomass Removal Estimates

Figure 15.- Black rockfish estimated total removals in lbs in 1996–2023. Total removals are calculated from the harvests, the estimated release mortality and mean fish weights. Error polygons represent 95% confidence intervals.

Figure 16.- Yellow rockfish estimated total removals in lbs in 1996–2023. Total removals are calculated from the harvests, the estimated release mortality and mean fish weights. Error polygons represent 95% confidence intervals.

Figure 17.- Pelagic rockfish estimated total removals in lbs in 1996–2023. Total removals are calculated from the harvests, the estimated release mortality and mean fish weights. Error polygons represent 95% confidence intervals.

Figure 18.- Non-yelloweye, demersal shelf rockfish estimated total removals in lbs in 1996-2023. Total removals are calculated from the harvests, the estimated release mortality and mean fish weights. Error polygons represent 95% confidence intervals.

Figure 19.- Slope rockfish estimated total removals in lbs in 1996-2023. Total removals are calculated from the harvests, the estimated release mortality and mean fish weights. Error polygons represent 95% confidence intervals.

Model fit

Logbook residuals

Figure 20.- Residuals from logbook harvests.

SWHS residuals

Figure 21.- Residuals from SWHS harvests.

Figure 22.- Residual of SWHS releases.

Parameter estimates

P(Charter)

These histograms show the posterior distribution of the mean percent of rockfish harvested by the charter fleet.

Figure 23.- Mean percent of harvest by charter anglers.

When considered annually we see the percent of rockfish harvested by the charter fleet follows our data fairly well although the model smooths out the changes and we just do not have much information about this ratio. Prior to 2011 the percent charter is confounded with SWHS bias and should be mostly discounted.

Figure 24.- Annual estimates of the percent of harvest by charter anglers for 16 commerical fishing manamgent areas, 1996-2023.

P(Harvest)

These plots show the fitted logistic line to the proportion of caught rockfish that are harvested. These estimates are used for hindcasting catch estimates based on the harvest data in early years when catch estimates are unavailable.

Figure 25.- Annual proportion of pelagic rockfish catch that was harvested. Note that pre-1990 estimates are used to estimate catch in these years when catch estimates are not available.

Figure 26.- Annual proportion of yelloweye rockfish catch that was harvested. Note that pre-1990 estimates are used to estimate catch in these years when catch estimates are not available.

Figure 27.- Annual proportion of non-pelagic, non-yelloweye rockfish catch that was harvested. Note that pre-1990 estimates are used to estimate catch in these years when catch estimates are not available. Note, that this is not estimated for Southeast areas because non=pelagics are divided between DSR (including yelloweye) and Slope species.

Figure 28.- Annual proportion of DSR rockfish catch that was harvested. Note that pre-1990 estimates are used to estimate catch in these years when catch estimates are not available. Note that the observed logbook data is for all non-pelagic, non-yelloweye fish.

Figure 29.- Annual proportion of Slope rockfish catch that was harvested. Note that pre-1990 estimates are used to estimate catch in these years when catch estimates are not available. Note that the observed logbook data is for all non-pelagic, non-yelloweye fish.

SWHS bias

Figure 23 shows the mean estimate for SWHS bias in harvests and releases. Cook Inlet, North Gulf Coast and North Southeast Inside all look pretty good while most other areas have substantial bias. Prince William Sound Inside has the largest bias. Bias in release estimates is substantial and whereas the SWHS appears to underestimate harvests, it appears to greatly overestimates releases by a factor of 2 or more in most areas as derived from logbook reported releases.

Figure 30.- Mean SWHS bias for harvests and catches. Note that a bias < 1 indicates that the SWHS underestimates the true value and bias > 1 indicates the survey overestimates the true value.

Our estimates of SWHS harvest bias track observations fairly well when he have guided harvest estimates. The estimates of release bias in the SWHS data track observed patterns to an extent, but appear to smooth these more volatile disagreements with the logbook data. Adam postulated in his initial start on this that some of this could be the result of the estimates of the proportion guided. This value was not modelled with a trend and thus applies a constant estimate when hindcasting. Data on these relationships could greatly improve this model.

Figure 31.- Annual estimates of SWHS bias in harvests and releases for 16 commerical fishing manamgent areas, 1996-2023. Note that a bias < 1 indicates that the SWHS underestimates the true value and bias > 1 indicates the survey overestimates the true value.

P(pelagic)

We model the percentage of pelagic rockfish in the harvest because we have the information for charter anglers (via logbooks) starting in 1998. Other than looking at the model estimates you can use Figure 25 to compare the two data streams for pelagic rockfish harvest. In general they are in agreement with major exceptions in Price William Sound inside, Prince William Sound outside (early in the time series) and South Southeast inside.

Figure 32.- Annual estimates of the percent of the sport harvest that was pelagic rockfish for 16 commerical fishing manamgent areas, 1996-2023.

P(black|pelagic)

Note that in Southeast Alaska we only have composition data starting in 2006. Tania dug up old SE data, but it did not provide any useful data for species apportionment. For the most part, P(black|pelagic) is relatively constant across areas, with the exception of Cook Inlet and NSEI in Southeast AK. It may be worth discussing whether the shifts in those areas is a result of improved or changing species identification rather than actual shift in the species composition of the catch.

Figure 33.- Annual estimates of the percent of the sport harvest of pelagic rockfish that were black rockfish for 16 commerical fishing manamgent areas, 1996-2023. Kodiak panels include data from a hydroacoustic survey and the proportion of pelagic rockfish that are black in those areas (red) and the adjusted proportions based on obseved harvests for charter (blue) and private (cyan) users.

P(yelloweye|non-pelagic / yelloweye|DSR)

Figure 34.- Annual estimates of the percent of the sport harvest of non-pelagic rockfish that were yelloweye rockfish for 16 commerical fishing manamgent areas, 1996-2023. Note that P(yelloweye) is the the proportion relative to non-pelagics for Central and Kodiak areas but is relative to DSR for Southeast areas.

P(DSR|non-pelagic)

Figure 35.- Annual estimates of the percent of the sport harvest of non-pelagic rockfish that were DSR rockfish for 6 Southeast commerical fishing manamgent areas, 1996-2023.

P(slope|non-pelagic)

Figure 36.- Annual estimates of the percent of the sport harvest of non-pelagic rockfish that were slope rockfish for 6 southeast commerical fishing manamgent areas, 1996-2023. Note that P(yelloweye) is the the proportion relative to non-pelagics for Central and Kodiak areas but is relative to DSR for Southeast areas.

P(slope|non-pelagic & non-yellowye) For release estimates

## NULL

Weight Fits

Figure 37.- Mean weights of black rockfish used to estimate biomass from harvest and release mortality estimates in numbers of fish.

Figure 38.- Mean weights of yelloweye rockfish used to estimate biomass from harvest and release mortality estimates in numbers of fish.

Figure 39.- Mean weights of non-black, pelagic rockfish used to estimate biomass from harvest and release mortality estimates in numbers of fish.

Figure 40.- Mean weights of non-yelloweye, demersal shelf rockfish used to estimate biomass from harvest and release mortality estimates in numbers of fish.

Figure 41.- Mean weights of slope rockfish used to estimate biomass from harvest and release mortality estimates in numbers of fish.

Summary of unconverged parameters:

The proportion of unconverged species composition proportional estimates that are near the bounds of 0 or 1 is 0.3515152

The proportion of unconverged true parameters (defined as Rhat > 1.01) that are also in excess of an Rhat of 1.1 is 0.1 while 0.9 are less than 1.1.

Table Xa. Species proportion derived quantities that are not with 0.05 of the 0 and 1 bounds and are not converged relative to an Rhat of 1.01.

variable	area_n	year	user	mean	median	lower	upper	Rhat	sd	skew	area
p_pelagic	11	12	2	0.395	0.388	0.182	0.651	1.010	0.122	0.057	CSEO
p_pelagic	11	15	1	0.434	0.429	0.211	0.679	1.020	0.124	0.040	CSEO
p_pelagic	11	18	1	0.477	0.474	0.247	0.716	1.011	0.122	0.025	CSEO
p_pelagic	13	1	1	0.310	0.296	0.104	0.600	1.086	0.131	0.107	NSEI
p_pelagic	13	1	2	0.122	0.107	0.031	0.310	1.075	0.071	0.210	NSEI
p_yellow	13	1	1	0.421	0.384	0.135	0.921	1.012	0.197	0.188	NSEI
p_yellow	13	1	2	0.385	0.338	0.119	0.907	1.013	0.197	0.239	NSEI
p_pelagic	13	10	1	0.330	0.316	0.120	0.604	1.050	0.126	0.111	NSEI
p_pelagic	13	10	2	0.135	0.119	0.041	0.312	1.060	0.071	0.224	NSEI
p_yellow	13	10	1	0.418	0.386	0.143	0.916	1.010	0.191	0.168	NSEI
p_yellow	13	10	2	0.382	0.342	0.118	0.904	1.016	0.194	0.206	NSEI
p_pelagic	13	11	1	0.332	0.318	0.128	0.602	1.052	0.125	0.112	NSEI
p_pelagic	13	11	2	0.135	0.120	0.041	0.315	1.054	0.072	0.209	NSEI
p_yellow	13	11	1	0.416	0.377	0.132	0.915	1.010	0.195	0.200	NSEI
p_yellow	13	11	2	0.389	0.347	0.121	0.897	1.012	0.194	0.216	NSEI
p_pelagic	13	12	1	0.341	0.330	0.133	0.609	1.035	0.126	0.087	NSEI
p_pelagic	13	12	2	0.139	0.125	0.042	0.321	1.041	0.072	0.193	NSEI
p_yellow	13	12	2	0.385	0.340	0.120	0.898	1.012	0.196	0.230	NSEI
p_pelagic	13	13	1	0.342	0.330	0.135	0.619	1.033	0.124	0.097	NSEI
p_pelagic	13	13	2	0.140	0.125	0.046	0.310	1.045	0.071	0.211	NSEI
p_yellow	13	13	1	0.423	0.388	0.134	0.916	1.012	0.196	0.179	NSEI
p_yellow	13	13	2	0.385	0.343	0.122	0.898	1.011	0.193	0.217	NSEI
p_pelagic	13	14	1	0.327	0.311	0.133	0.599	1.037	0.120	0.133	NSEI
p_pelagic	13	14	2	0.139	0.127	0.045	0.307	1.029	0.068	0.175	NSEI
p_pelagic	13	15	1	0.302	0.288	0.122	0.570	1.047	0.116	0.121	NSEI
p_pelagic	13	15	2	0.132	0.119	0.045	0.287	1.036	0.063	0.205	NSEI
p_yellow	13	15	1	0.419	0.383	0.138	0.918	1.011	0.195	0.185	NSEI
p_yellow	13	15	2	0.379	0.339	0.118	0.907	1.012	0.194	0.206	NSEI
p_pelagic	13	16	1	0.340	0.325	0.141	0.588	1.023	0.119	0.126	NSEI
p_pelagic	13	16	2	0.145	0.132	0.047	0.310	1.027	0.069	0.189	NSEI
p_yellow	13	16	2	0.387	0.347	0.121	0.896	1.010	0.195	0.205	NSEI
p_pelagic	13	17	1	0.352	0.340	0.161	0.603	1.018	0.116	0.103	NSEI
p_pelagic	13	17	2	0.150	0.138	0.052	0.317	1.030	0.070	0.172	NSEI
p_yellow	13	17	2	0.384	0.345	0.121	0.894	1.012	0.193	0.202	NSEI
p_pelagic	13	18	1	0.361	0.350	0.161	0.608	1.017	0.116	0.095	NSEI
p_pelagic	13	18	2	0.154	0.143	0.055	0.323	1.033	0.070	0.156	NSEI
p_yellow	13	18	2	0.381	0.341	0.119	0.899	1.013	0.194	0.207	NSEI
p_pelagic	13	19	2	0.159	0.148	0.055	0.334	1.012	0.070	0.158	NSEI
p_yellow	13	19	1	0.417	0.381	0.136	0.912	1.013	0.193	0.187	NSEI
p_yellow	13	19	2	0.380	0.338	0.119	0.895	1.011	0.192	0.218	NSEI
p_pelagic	13	2	1	0.311	0.291	0.108	0.606	1.079	0.134	0.149	NSEI
p_pelagic	13	2	2	0.122	0.106	0.032	0.295	1.069	0.069	0.232	NSEI
p_yellow	13	2	1	0.421	0.386	0.142	0.913	1.010	0.193	0.182	NSEI
p_yellow	13	2	2	0.386	0.343	0.120	0.914	1.012	0.195	0.220	NSEI
p_pelagic	13	20	1	0.373	0.366	0.177	0.618	1.018	0.116	0.060	NSEI
p_pelagic	13	20	2	0.167	0.155	0.058	0.339	1.010	0.073	0.163	NSEI
p_yellow	13	20	2	0.383	0.340	0.124	0.898	1.011	0.195	0.221	NSEI
p_yellow	13	21	2	0.383	0.341	0.119	0.889	1.012	0.195	0.216	NSEI
p_yellow	13	22	1	0.418	0.382	0.138	0.918	1.011	0.194	0.186	NSEI
p_yellow	13	22	2	0.384	0.345	0.114	0.891	1.012	0.192	0.203	NSEI
p_yellow	13	23	1	0.431	0.401	0.145	0.908	1.011	0.192	0.156	NSEI
p_yellow	13	23	2	0.382	0.341	0.117	0.886	1.010	0.191	0.215	NSEI
p_yellow	13	24	1	0.434	0.401	0.151	0.906	1.014	0.191	0.172	NSEI
p_yellow	13	25	1	0.437	0.403	0.148	0.894	1.010	0.189	0.180	NSEI
p_yellow	13	27	2	0.368	0.335	0.119	0.869	1.012	0.183	0.181	NSEI
p_yellow	13	28	1	0.425	0.406	0.144	0.847	1.012	0.180	0.106	NSEI
p_pelagic	13	3	1	0.314	0.300	0.111	0.597	1.066	0.129	0.109	NSEI
p_pelagic	13	3	2	0.124	0.107	0.032	0.312	1.066	0.073	0.232	NSEI
p_yellow	13	3	1	0.419	0.381	0.141	0.915	1.011	0.195	0.195	NSEI
p_yellow	13	3	2	0.383	0.339	0.114	0.900	1.012	0.197	0.223	NSEI
p_pelagic	13	4	1	0.315	0.298	0.111	0.598	1.080	0.130	0.131	NSEI
p_pelagic	13	4	2	0.126	0.109	0.035	0.301	1.071	0.070	0.243	NSEI
p_yellow	13	4	2	0.390	0.350	0.117	0.904	1.013	0.196	0.204	NSEI
p_pelagic	13	5	1	0.318	0.302	0.112	0.605	1.072	0.128	0.125	NSEI
p_pelagic	13	5	2	0.126	0.111	0.034	0.304	1.076	0.072	0.208	NSEI
p_yellow	13	5	1	0.420	0.384	0.140	0.914	1.011	0.194	0.186	NSEI
p_yellow	13	5	2	0.382	0.341	0.121	0.897	1.012	0.195	0.210	NSEI
p_pelagic	13	6	1	0.319	0.305	0.112	0.606	1.062	0.127	0.110	NSEI
p_pelagic	13	6	2	0.128	0.113	0.037	0.306	1.059	0.070	0.215	NSEI
p_yellow	13	6	1	0.420	0.384	0.135	0.918	1.017	0.195	0.184	NSEI
p_yellow	13	6	2	0.387	0.349	0.121	0.915	1.015	0.195	0.195	NSEI
p_pelagic	13	7	1	0.321	0.307	0.118	0.609	1.071	0.130	0.107	NSEI
p_pelagic	13	7	2	0.129	0.113	0.036	0.316	1.056	0.072	0.223	NSEI
p_yellow	13	7	2	0.381	0.341	0.110	0.894	1.015	0.194	0.206	NSEI
p_pelagic	13	8	1	0.324	0.311	0.123	0.599	1.062	0.127	0.103	NSEI
p_pelagic	13	8	2	0.129	0.114	0.037	0.296	1.056	0.069	0.217	NSEI
p_yellow	13	8	1	0.421	0.387	0.144	0.907	1.012	0.193	0.176	NSEI
p_yellow	13	8	2	0.381	0.338	0.121	0.898	1.013	0.194	0.222	NSEI
p_pelagic	13	9	1	0.324	0.307	0.120	0.601	1.053	0.128	0.133	NSEI
p_pelagic	13	9	2	0.132	0.116	0.038	0.307	1.050	0.071	0.226	NSEI
p_yellow	13	9	1	0.420	0.385	0.135	0.924	1.015	0.195	0.180	NSEI
p_yellow	13	9	2	0.387	0.346	0.123	0.898	1.016	0.193	0.212	NSEI
p_pelagic	16	11	1	0.316	0.305	0.128	0.559	1.014	0.112	0.098	SSEO
p_pelagic	16	12	1	0.310	0.300	0.123	0.562	1.014	0.113	0.088	SSEO
p_pelagic	16	13	2	0.216	0.201	0.077	0.424	1.012	0.092	0.164	SSEO
p_pelagic	16	14	1	0.295	0.284	0.116	0.540	1.020	0.107	0.103	SSEO
p_pelagic	16	15	1	0.299	0.290	0.122	0.529	1.013	0.107	0.084	SSEO
p_pelagic	16	16	1	0.295	0.284	0.121	0.524	1.012	0.106	0.104	SSEO
p_pelagic	16	18	2	0.221	0.206	0.076	0.446	1.011	0.095	0.157	SSEO
p_pelagic	16	20	1	0.315	0.304	0.141	0.545	1.013	0.105	0.105	SSEO
p_pelagic	16	4	1	0.313	0.305	0.116	0.559	1.013	0.114	0.070	SSEO
p_pelagic	16	4	2	0.218	0.206	0.076	0.440	1.010	0.092	0.130	SSEO
p_pelagic	16	5	1	0.313	0.302	0.123	0.550	1.011	0.112	0.098	SSEO
p_pelagic	16	6	1	0.310	0.300	0.123	0.560	1.011	0.113	0.088	SSEO
p_pelagic	16	8	1	0.311	0.302	0.122	0.559	1.010	0.113	0.079	SSEO
p_pelagic	16	8	2	0.216	0.203	0.073	0.430	1.012	0.092	0.141	SSEO
p_pelagic	3	1	1	0.542	0.547	0.272	0.794	1.012	0.136	-0.037	PWSI
p_pelagic	3	11	1	0.546	0.548	0.283	0.782	1.010	0.132	-0.015	PWSI
p_pelagic	3	12	1	0.542	0.550	0.276	0.780	1.022	0.133	-0.060	PWSI
p_pelagic	3	14	1	0.548	0.557	0.264	0.784	1.011	0.133	-0.067	PWSI
p_pelagic	3	14	2	0.185	0.171	0.061	0.388	1.013	0.084	0.167	PWSI
p_pelagic	3	15	1	0.542	0.549	0.276	0.780	1.011	0.131	-0.054	PWSI
p_pelagic	3	2	2	0.182	0.168	0.060	0.377	1.012	0.082	0.170	PWSI
p_pelagic	3	3	1	0.542	0.549	0.274	0.784	1.010	0.133	-0.053	PWSI
p_pelagic	3	3	2	0.180	0.166	0.055	0.380	1.016	0.084	0.167	PWSI
p_pelagic	3	8	1	0.543	0.550	0.273	0.780	1.017	0.134	-0.052	PWSI
p_black	8	40	1	0.432	0.409	0.339	0.930	1.015	0.115	0.200	afognak

Table Xb. True parameters with an Rhat in excess of 1.1

variable	area_n	year/species	mean	median	lower	upper	Rhat	sd	skew	area
beta2_pH	10	1	1.324	0.753	0.274	6.786	1.205	1.592	0.359	northeast
beta0_pH	11	1	0.090	0.126	-0.638	0.700	1.247	0.347	-0.104	CSEO
beta1_pH	11	1	3.303	3.218	2.367	4.574	1.271	0.556	0.153	CSEO
beta2_pH	11	1	0.429	0.370	0.178	1.077	1.107	0.257	0.230	CSEO
beta2_yellow	11		-6.489	-4.967	-20.216	-0.260	1.151	5.314	-0.286	CSEO
beta0_pelagic	13		-1.002	-0.973	-2.115	-0.127	1.267	0.529	-0.055	NSEI
beta1_pelagic	13		3.409	3.137	1.690	6.379	1.167	1.195	0.228	NSEI
beta2_pelagic	13		0.154	0.140	0.064	0.343	1.199	0.077	0.182	NSEI
beta0_pelagic	16		-0.821	-0.789	-1.460	-0.442	1.137	0.238	-0.135	SSEO
beta1_pelagic	16		1.954	1.907	1.412	2.929	1.122	0.353	0.133	SSEO
mu_beta2_pH	2	1	1.043	0.501	0.034	5.877	1.266	1.609	0.337	NG
tau_beta2_pH	2	3	0.256	0.109	0.042	1.231	1.123	0.773	0.190	NG
beta2_pH	6	1	0.965	0.352	0.103	6.458	1.149	1.627	0.377	SOKO2SAP
beta2_pH	8	1	0.827	0.288	0.111	6.818	1.350	1.645	0.328	afognak
beta2_pH	9	1	1.234	0.494	0.152	7.310	1.333	1.849	0.400	eastside
beta2_pH	9	3	0.188	0.159	0.081	0.429	1.135	0.165	0.175	eastside

Table Xc. Summary statistics describing the characteristics of the derived harvest and release estimates that are not converged relative to an Rhat of 1.01.

Statistic	non.BSAI.SOKO.Harv	BSAI.SOKO.Harv	non.BSAI.SOKO.Rel	BSAI.SOKO.Rel
n unconverged at Rhat = 1.01	399.00	246.00	947.00	335.00
Prop. of total	0.62	0.38	0.74	0.26
Prop. median less than 1	0.28	0.20	0.33	0.43
Prop. median less than 10	0.41	0.57	0.52	0.77
Prop. median less than 50	0.50	0.79	0.65	0.83
Median of the median values	52.03	7.55	6.93	1.71
Mean of the median values	492.27	352.15	314.41	201.04
Mean skew of posteriors	0.24	0.29	0.27	0.25

Table Xd. Summary statistics describing the characteristics of the derived harvest and release estimates that are not converged relative to an Rhat of 1.1.

Statistic	non.BSAI.SOKO.Harv	BSAI.SOKO.Harv	non.BSAI.SOKO.Rel	BSAI.SOKO.Rel
n unconverged at Rhat = 1.1	7.00	8.00	42.00	34.00
Prop. of total	0.47	0.53	0.55	0.45
Prop. median less than 1	1.00	0.62	0.88	0.65
Prop. median less than 10	1.00	1.00	0.95	1.00
Prop. median less than 50	1.00	1.00	0.98	1.00
Median of the median values	0.00	0.66	0.00	0.21
Mean of the median values	0.06	1.09	4.31	0.84
Mean skew of posteriors	0.18	0.20	0.15	0.15

Table Xe. All parameters and derived quantities that are not converged relative to an Rhat of 1.1.

variable	Freq
beta0_pelagic	2
beta0_pH	1
beta1_pelagic	2
beta1_pH	1
beta2_pelagic	1
beta2_pH	5
beta2_yellow	1
eps_pH	3
H_ayg	1
Hb_ay	1
Hb_ayg	1
Ho_ay	3
Ho_ayu	8
Hp_ay	1
Hp_ayg	1
Hs_ayu	1
Hy_ay	1
Hy_ayu	2
mu_beta2_pH	1
p_slope	1
R_ayg	2
R_ayu	1
Rb_ayg	2
Rd_ay	1
Rd_ayg	1
Rd_ayu	2
re_pH	3
Ro_ay	8
Ro_ayg	3
Ro_ayu	27
Rp_ayg	2
Rs_ay	1
Rs_ayg	1
Rs_ayu	2
Ry_ay	11
Ry_ayg	9
Ry_ayu	22
tau_beta2_pH	1

Parameter estimates:

Summary Table of Parameter Estimates
Parameter	mean	sd	Lower_CI	Median	Upper_CI
mu_bc_H[1]	-0.021	0.069	-0.147	-0.024	0.122
mu_bc_H[2]	0.076	0.054	-0.022	0.073	0.190
mu_bc_H[3]	-0.268	0.068	-0.396	-0.269	-0.129
mu_bc_H[4]	-0.923	0.180	-1.280	-0.916	-0.569
mu_bc_H[5]	1.345	1.233	0.101	1.061	4.201
mu_bc_H[6]	-2.367	0.320	-2.968	-2.366	-1.741
mu_bc_H[7]	-0.456	0.103	-0.665	-0.453	-0.262
mu_bc_H[8]	0.269	0.337	-0.311	0.245	0.995
mu_bc_H[9]	-0.248	0.126	-0.493	-0.249	0.009
mu_bc_H[10]	0.060	0.067	-0.066	0.060	0.195
mu_bc_H[11]	-0.122	0.038	-0.197	-0.122	-0.049
mu_bc_H[12]	-0.249	0.105	-0.473	-0.243	-0.050
mu_bc_H[13]	-0.153	0.073	-0.287	-0.153	-0.010
mu_bc_H[14]	-0.303	0.089	-0.477	-0.301	-0.135
mu_bc_H[15]	-0.330	0.046	-0.419	-0.330	-0.239
mu_bc_H[16]	-0.209	0.367	-0.836	-0.229	0.592
mu_bc_R[1]	1.032	0.121	0.793	1.032	1.276
mu_bc_R[2]	1.011	0.077	0.853	1.015	1.152
mu_bc_R[3]	0.229	0.091	0.044	0.231	0.405
mu_bc_R[4]	0.666	0.207	0.225	0.673	1.046
mu_bc_R[5]	1.674	0.365	0.951	1.671	2.409
mu_bc_R[6]	-1.425	0.351	-2.107	-1.426	-0.753
mu_bc_R[7]	0.517	0.167	0.191	0.522	0.841
mu_bc_R[8]	0.638	0.150	0.344	0.634	0.941
mu_bc_R[9]	0.377	0.169	0.014	0.382	0.695
mu_bc_R[10]	0.900	0.106	0.690	0.901	1.105
mu_bc_R[11]	1.112	0.078	0.963	1.109	1.270
mu_bc_R[12]	0.894	0.168	0.563	0.898	1.223
mu_bc_R[13]	1.059	0.091	0.875	1.060	1.233
mu_bc_R[14]	0.842	0.126	0.598	0.840	1.090
mu_bc_R[15]	0.728	0.095	0.541	0.727	0.913
mu_bc_R[16]	1.302	0.106	1.088	1.304	1.506
tau_pH[1]	2.445	0.179	2.100	2.439	2.811
tau_pH[2]	1.568	0.146	1.297	1.563	1.876
tau_pH[3]	2.283	0.304	1.731	2.259	2.927
tau_pH[4]	1.050	0.143	0.797	1.048	1.353
tau_pH[5]	1.028	0.154	0.756	1.017	1.360
beta0_pH[1,1]	0.546	0.176	0.195	0.551	0.884
beta0_pH[2,1]	1.428	0.165	1.097	1.429	1.728
beta0_pH[3,1]	1.401	0.215	0.906	1.424	1.748
beta0_pH[4,1]	1.554	0.236	1.038	1.564	1.970
beta0_pH[5,1]	-0.843	0.400	-1.814	-0.802	-0.186
beta0_pH[6,1]	-0.635	0.523	-2.083	-0.508	0.029
beta0_pH[7,1]	0.752	0.011	0.731	0.752	0.773
beta0_pH[8,1]	-0.773	0.387	-1.733	-0.720	-0.153
beta0_pH[9,1]	-0.336	0.285	-0.990	-0.311	0.148
beta0_pH[10,1]	0.261	0.197	-0.148	0.265	0.616
beta0_pH[11,1]	0.090	0.347	-0.638	0.126	0.700
beta0_pH[12,1]	0.645	0.193	0.255	0.654	0.999
beta0_pH[13,1]	-0.646	0.140	-0.920	-0.651	-0.372
beta0_pH[14,1]	0.067	0.180	-0.287	0.067	0.413
beta0_pH[15,1]	0.070	0.188	-0.349	0.083	0.406
beta0_pH[16,1]	-0.963	0.222	-1.405	-0.954	-0.548
beta0_pH[1,2]	2.567	0.084	2.404	2.567	2.730
beta0_pH[2,2]	3.078	0.022	3.037	3.079	3.121
beta0_pH[3,2]	3.625	0.041	3.546	3.626	3.704
beta0_pH[4,2]	2.936	0.019	2.899	2.937	2.974
beta0_pH[5,2]	4.501	1.419	2.681	4.209	8.002
beta0_pH[6,2]	3.326	0.160	3.020	3.318	3.646
beta0_pH[7,2]	2.022	0.050	1.927	2.023	2.120
beta0_pH[8,2]	2.823	0.064	2.700	2.821	2.948
beta0_pH[9,2]	3.963	0.204	3.574	3.961	4.377
beta0_pH[10,2]	4.007	0.131	3.762	4.004	4.277
beta0_pH[11,2]	1.888	0.009	1.871	1.888	1.906
beta0_pH[12,2]	1.802	0.068	1.674	1.802	1.940
beta0_pH[13,2]	2.498	0.026	2.447	2.498	2.549
beta0_pH[14,2]	1.805	0.025	1.757	1.805	1.854
beta0_pH[15,2]	2.550	0.017	2.518	2.550	2.584
beta0_pH[16,2]	2.777	0.025	2.729	2.777	2.826
beta0_pH[1,3]	0.686	0.602	-1.013	0.849	1.365
beta0_pH[2,3]	2.126	0.018	2.091	2.126	2.161
beta0_pH[3,3]	2.690	0.023	2.644	2.690	2.736
beta0_pH[4,3]	2.980	0.033	2.916	2.980	3.046
beta0_pH[5,3]	3.826	2.680	1.028	3.134	11.439
beta0_pH[6,3]	1.256	0.322	0.691	1.232	1.954
beta0_pH[7,3]	0.856	0.049	0.760	0.857	0.952
beta0_pH[8,3]	0.283	0.123	0.011	0.292	0.502
beta0_pH[9,3]	-2.859	1.091	-5.253	-2.747	-1.025
beta0_pH[10,3]	-0.474	0.756	-2.252	-0.358	0.682
beta0_pH[11,3]	-0.429	11.328	-21.744	-0.638	22.052
beta0_pH[12,3]	-0.522	11.486	-23.988	-0.677	21.749
beta0_pH[13,3]	-0.445	11.371	-22.672	-0.543	21.930
beta0_pH[14,3]	-0.376	11.381	-22.930	-0.394	22.345
beta0_pH[15,3]	-0.506	11.397	-23.836	-0.480	21.854
beta0_pH[16,3]	-0.339	11.614	-22.672	-0.438	22.523
beta0_pH[11,4]	1.383	0.980	-1.600	1.551	2.821
beta0_pH[12,4]	1.366	1.074	-1.239	1.393	3.318
beta0_pH[13,4]	1.859	0.783	0.072	1.928	3.151
beta0_pH[14,4]	0.651	0.678	-1.011	0.733	1.748
beta0_pH[15,4]	0.580	0.964	-1.937	0.928	1.607
beta0_pH[16,4]	1.168	0.872	-0.944	1.284	2.613
beta0_pH[11,5]	1.289	0.113	1.096	1.279	1.535
beta0_pH[12,5]	-2.311	0.430	-3.275	-2.275	-1.596
beta0_pH[13,5]	0.762	0.054	0.664	0.759	0.883
beta0_pH[14,5]	0.618	0.231	0.183	0.615	1.091
beta0_pH[15,5]	2.218	0.419	1.582	2.145	3.194
beta0_pH[16,5]	-0.769	0.066	-0.897	-0.771	-0.635
beta1_pH[1,1]	2.602	0.500	1.816	2.527	3.834
beta1_pH[2,1]	1.575	0.305	1.021	1.563	2.187
beta1_pH[3,1]	1.800	0.415	1.154	1.754	2.866
beta1_pH[4,1]	1.943	0.450	1.196	1.887	3.099
beta1_pH[5,1]	2.376	0.507	1.562	2.317	3.602
beta1_pH[6,1]	2.303	0.857	1.148	2.099	4.378
beta1_pH[7,1]	0.000	0.000	0.000	0.000	0.000
beta1_pH[8,1]	2.684	1.033	1.228	2.477	5.349
beta1_pH[9,1]	2.126	0.631	1.243	2.009	3.748
beta1_pH[10,1]	2.217	0.400	1.527	2.170	3.136
beta1_pH[11,1]	3.303	0.556	2.367	3.218	4.574
beta1_pH[12,1]	2.876	0.286	2.331	2.878	3.466
beta1_pH[13,1]	3.427	0.233	2.981	3.420	3.893
beta1_pH[14,1]	2.791	0.337	2.193	2.779	3.478
beta1_pH[15,1]	2.373	0.279	1.879	2.357	2.970
beta1_pH[16,1]	4.137	0.317	3.532	4.124	4.767
beta1_pH[1,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[2,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[3,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[4,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[5,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[6,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[7,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[8,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[9,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[10,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[11,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[12,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[13,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[14,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[15,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[16,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[1,3]	3.452	1.637	1.316	2.966	7.254
beta1_pH[2,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[3,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[4,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[5,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[6,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[7,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[8,3]	4.780	2.231	2.219	4.054	10.980
beta1_pH[9,3]	8.444	2.664	4.210	8.026	14.147
beta1_pH[10,3]	6.441	2.548	2.854	5.924	12.187
beta1_pH[11,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[12,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[13,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[14,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[15,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[16,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[11,4]	2.114	1.012	0.430	1.992	5.000
beta1_pH[12,4]	4.027	1.098	2.089	3.986	6.506
beta1_pH[13,4]	2.539	0.813	1.164	2.470	4.307
beta1_pH[14,4]	2.758	0.734	1.550	2.679	4.451
beta1_pH[15,4]	1.169	0.991	0.113	0.829	3.659
beta1_pH[16,4]	3.888	0.916	2.381	3.769	6.024
beta1_pH[11,5]	0.000	0.000	0.000	0.000	0.000
beta1_pH[12,5]	0.000	0.000	0.000	0.000	0.000
beta1_pH[13,5]	0.000	0.000	0.000	0.000	0.000
beta1_pH[14,5]	0.000	0.000	0.000	0.000	0.000
beta1_pH[15,5]	0.000	0.000	0.000	0.000	0.000
beta1_pH[16,5]	0.000	0.000	0.000	0.000	0.000
beta2_pH[1,1]	1.222	0.845	0.323	0.915	3.375
beta2_pH[2,1]	1.631	0.953	0.335	1.404	3.422
beta2_pH[3,1]	1.369	0.855	0.194	1.191	2.942
beta2_pH[4,1]	1.088	0.784	0.205	0.809	2.910
beta2_pH[5,1]	2.118	1.915	0.253	1.569	7.649
beta2_pH[6,1]	0.965	1.627	0.103	0.352	6.458
beta2_pH[7,1]	0.000	0.000	0.000	0.000	0.000
beta2_pH[8,1]	0.827	1.645	0.111	0.288	6.818
beta2_pH[9,1]	1.234	1.849	0.152	0.494	7.310
beta2_pH[10,1]	1.324	1.592	0.274	0.753	6.786
beta2_pH[11,1]	0.429	0.257	0.178	0.370	1.077
beta2_pH[12,1]	1.597	0.814	0.636	1.345	3.695
beta2_pH[13,1]	1.031	0.432	0.542	0.923	2.210
beta2_pH[14,1]	1.111	0.655	0.436	0.906	3.121
beta2_pH[15,1]	1.080	0.650	0.377	0.900	3.115
beta2_pH[16,1]	1.104	0.412	0.630	1.009	2.236
beta2_pH[1,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[2,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[3,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[4,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[5,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[6,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[7,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[8,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[9,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[10,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[11,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[12,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[13,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[14,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[15,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[16,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[1,3]	2.178	3.808	0.111	0.491	14.803
beta2_pH[2,3]	0.000	0.000	0.000	0.000	0.000
beta2_pH[3,3]	0.000	0.000	0.000	0.000	0.000
beta2_pH[4,3]	0.000	0.000	0.000	0.000	0.000
beta2_pH[5,3]	0.000	0.000	0.000	0.000	0.000
beta2_pH[6,3]	0.000	0.000	0.000	0.000	0.000
beta2_pH[7,3]	0.000	0.000	0.000	0.000	0.000
beta2_pH[8,3]	2.422	1.938	0.584	1.651	7.914
beta2_pH[9,3]	0.188	0.165	0.081	0.159	0.429
beta2_pH[10,3]	0.381	0.486	0.109	0.265	1.410
beta2_pH[11,3]	-8.215	5.925	-22.079	-6.962	-0.436
beta2_pH[12,3]	-8.230	5.941	-22.106	-6.982	-0.411
beta2_pH[13,3]	-8.322	5.993	-22.543	-7.061	-0.444
beta2_pH[14,3]	-8.252	5.944	-22.410	-7.125	-0.326
beta2_pH[15,3]	-8.311	5.901	-22.169	-7.073	-0.429
beta2_pH[16,3]	-8.275	5.980	-22.091	-7.039	-0.360
beta2_pH[11,4]	-4.301	3.741	-14.279	-3.099	-0.626
beta2_pH[12,4]	-4.826	3.699	-15.175	-3.723	-0.893
beta2_pH[13,4]	-4.056	3.672	-14.270	-2.750	-0.662
beta2_pH[14,4]	-4.274	3.615	-14.255	-3.007	-0.803
beta2_pH[15,4]	-4.451	3.665	-14.602	-3.207	-0.753
beta2_pH[16,4]	-4.624	3.436	-14.546	-3.480	-1.236
beta2_pH[11,5]	0.000	0.000	0.000	0.000	0.000
beta2_pH[12,5]	0.000	0.000	0.000	0.000	0.000
beta2_pH[13,5]	0.000	0.000	0.000	0.000	0.000
beta2_pH[14,5]	0.000	0.000	0.000	0.000	0.000
beta2_pH[15,5]	0.000	0.000	0.000	0.000	0.000
beta2_pH[16,5]	0.000	0.000	0.000	0.000	0.000
beta3_pH[1,1]	34.980	1.209	32.760	34.950	37.817
beta3_pH[2,1]	32.646	1.438	29.967	32.582	35.714
beta3_pH[3,1]	33.049	1.597	30.241	32.963	36.862
beta3_pH[4,1]	32.668	1.857	29.649	32.457	37.064
beta3_pH[5,1]	27.572	1.181	25.854	27.437	30.656
beta3_pH[6,1]	32.898	3.640	25.322	32.959	40.827
beta3_pH[7,1]	25.000	0.000	25.000	25.000	25.000
beta3_pH[8,1]	34.927	3.838	28.626	34.702	42.906
beta3_pH[9,1]	32.475	2.981	27.643	31.935	39.549
beta3_pH[10,1]	32.767	1.377	30.425	32.686	35.838
beta3_pH[11,1]	31.216	1.121	29.234	31.166	33.577
beta3_pH[12,1]	30.793	0.477	29.776	30.813	31.678
beta3_pH[13,1]	31.340	0.539	30.339	31.334	32.418
beta3_pH[14,1]	32.600	0.776	31.255	32.553	34.269
beta3_pH[15,1]	30.898	0.719	29.478	30.912	32.300
beta3_pH[16,1]	30.084	0.330	29.420	30.089	30.725
beta3_pH[1,2]	34.451	5.466	25.443	34.400	43.479
beta3_pH[2,2]	34.592	5.432	25.527	34.639	43.505
beta3_pH[3,2]	30.399	7.234	18.640	30.420	42.361
beta3_pH[4,2]	30.502	7.114	18.680	30.343	42.262
beta3_pH[5,2]	30.333	7.207	18.552	30.274	42.342
beta3_pH[6,2]	30.325	7.166	18.625	30.568	42.199
beta3_pH[7,2]	25.000	0.000	25.000	25.000	25.000
beta3_pH[8,2]	25.000	0.000	25.000	25.000	25.000
beta3_pH[9,2]	25.000	0.000	25.000	25.000	25.000
beta3_pH[10,2]	25.000	0.000	25.000	25.000	25.000
beta3_pH[11,2]	24.000	0.000	24.000	24.000	24.000
beta3_pH[12,2]	24.000	0.000	24.000	24.000	24.000
beta3_pH[13,2]	24.000	0.000	24.000	24.000	24.000
beta3_pH[14,2]	24.000	0.000	24.000	24.000	24.000
beta3_pH[15,2]	24.000	0.000	24.000	24.000	24.000
beta3_pH[16,2]	24.000	0.000	24.000	24.000	24.000
beta3_pH[1,3]	39.793	2.520	33.542	40.163	43.693
beta3_pH[2,3]	34.647	5.494	25.611	34.594	43.500
beta3_pH[3,3]	30.476	7.323	18.644	30.352	42.443
beta3_pH[4,3]	30.432	7.236	18.679	30.248	42.331
beta3_pH[5,3]	25.000	0.000	25.000	25.000	25.000
beta3_pH[6,3]	25.000	0.000	25.000	25.000	25.000
beta3_pH[7,3]	25.000	0.000	25.000	25.000	25.000
beta3_pH[8,3]	42.097	0.807	40.977	41.853	43.828
beta3_pH[9,3]	35.956	1.745	34.527	35.285	41.422
beta3_pH[10,3]	37.914	2.457	34.710	37.312	43.324
beta3_pH[11,3]	38.517	2.614	34.188	38.449	42.799
beta3_pH[12,3]	38.450	2.600	34.223	38.441	42.750
beta3_pH[13,3]	38.512	2.619	34.221	38.464	42.778
beta3_pH[14,3]	38.529	2.578	34.242	38.495	42.734
beta3_pH[15,3]	38.572	2.587	34.261	38.608	42.827
beta3_pH[16,3]	38.571	2.574	34.262	38.563	42.768
beta3_pH[11,4]	40.751	1.319	38.274	40.660	43.375
beta3_pH[12,4]	42.237	0.669	40.430	42.380	43.101
beta3_pH[13,4]	40.962	0.944	39.241	40.914	42.985
beta3_pH[14,4]	40.245	0.735	38.854	40.224	41.677
beta3_pH[15,4]	41.553	1.672	37.531	41.804	43.823
beta3_pH[16,4]	41.733	0.460	40.830	41.777	42.685
beta3_pH[11,5]	25.000	0.000	25.000	25.000	25.000
beta3_pH[12,5]	25.000	0.000	25.000	25.000	25.000
beta3_pH[13,5]	25.000	0.000	25.000	25.000	25.000
beta3_pH[14,5]	25.000	0.000	25.000	25.000	25.000
beta3_pH[15,5]	25.000	0.000	25.000	25.000	25.000
beta3_pH[16,5]	25.000	0.000	25.000	25.000	25.000
beta4_pH[1,1]	0.262	0.021	0.221	0.262	0.303
beta4_pH[2,1]	0.211	0.005	0.201	0.211	0.221
beta4_pH[3,1]	0.173	0.007	0.160	0.173	0.187
beta4_pH[4,1]	0.294	0.011	0.272	0.293	0.316
beta4_pH[5,1]	0.422	0.272	0.092	0.383	0.947
beta4_pH[6,1]	0.775	0.380	0.332	0.734	1.436
beta4_pH[7,1]	0.848	0.331	0.360	0.797	1.644
beta4_pH[8,1]	0.153	0.069	0.039	0.147	0.308
beta4_pH[9,1]	0.215	0.087	0.058	0.210	0.390
beta4_pH[10,1]	0.001	0.001	0.000	0.001	0.003
beta4_pH[11,1]	0.446	0.012	0.423	0.447	0.470
beta4_pH[12,1]	0.643	0.022	0.599	0.642	0.688
beta4_pH[13,1]	0.630	0.014	0.604	0.631	0.656
beta4_pH[14,1]	0.670	0.031	0.610	0.669	0.730
beta4_pH[15,1]	0.797	0.021	0.758	0.797	0.839
beta4_pH[16,1]	1.210	0.042	1.131	1.210	1.295
beta4_pH[1,2]	0.297	0.095	0.126	0.290	0.494
beta4_pH[2,2]	0.515	0.023	0.471	0.515	0.558
beta4_pH[3,2]	0.446	0.012	0.423	0.446	0.470
beta4_pH[4,2]	0.656	0.038	0.584	0.654	0.733
beta4_pH[5,2]	0.731	0.880	0.102	0.527	2.707
beta4_pH[6,2]	0.907	0.870	0.188	0.740	2.639
beta4_pH[7,2]	0.897	0.420	0.366	0.815	1.932
beta4_pH[8,2]	0.849	0.203	0.488	0.843	1.251
beta4_pH[9,2]	1.120	1.063	0.297	0.861	3.511
beta4_pH[10,2]	0.457	0.050	0.362	0.456	0.558
beta4_pH[11,2]	1.268	0.050	1.174	1.267	1.366
beta4_pH[12,2]	0.608	0.114	0.400	0.603	0.841
beta4_pH[13,2]	0.955	0.044	0.870	0.954	1.045
beta4_pH[14,2]	0.936	0.063	0.815	0.937	1.063
beta4_pH[15,2]	1.011	0.026	0.961	1.011	1.064
beta4_pH[16,2]	1.369	0.071	1.236	1.367	1.509
beta4_pH[1,3]	0.240	0.076	0.099	0.235	0.399
beta4_pH[2,3]	0.049	0.017	0.018	0.049	0.085
beta4_pH[3,3]	0.052	0.010	0.033	0.052	0.072
beta4_pH[4,3]	0.167	0.031	0.107	0.167	0.227
beta4_pH[5,3]	0.760	0.862	0.115	0.556	2.702
beta4_pH[6,3]	0.895	0.787	0.204	0.725	2.506
beta4_pH[7,3]	0.893	0.418	0.346	0.818	1.909
beta4_pH[8,3]	0.385	0.185	0.093	0.361	0.818
beta4_pH[9,3]	0.928	0.825	0.163	0.722	2.764
beta4_pH[10,3]	0.056	0.038	0.004	0.050	0.142
beta4_pH[11,3]	0.621	0.263	0.258	0.574	1.255
beta4_pH[12,3]	0.738	0.267	0.361	0.693	1.375
beta4_pH[13,3]	0.793	0.374	0.296	0.725	1.684
beta4_pH[14,3]	0.872	0.224	0.514	0.848	1.382
beta4_pH[15,3]	0.794	0.202	0.463	0.770	1.263
beta4_pH[16,3]	0.828	0.370	0.333	0.764	1.767
beta4_pH[1,4]	0.637	0.376	0.198	0.561	1.518
beta4_pH[2,4]	0.803	0.833	0.112	0.589	2.734
beta4_pH[3,4]	0.860	0.927	0.114	0.605	3.089
beta4_pH[4,4]	0.733	0.464	0.209	0.632	1.936
beta4_pH[5,4]	0.734	0.749	0.104	0.557	2.500
beta4_pH[6,4]	0.917	0.791	0.202	0.736	2.708
beta4_pH[7,4]	0.895	0.416	0.341	0.820	1.896
beta4_pH[8,4]	0.765	0.827	0.145	0.591	2.413
beta4_pH[9,4]	0.774	0.928	0.117	0.553	2.790
beta4_pH[10,4]	1.426	2.872	0.007	0.383	11.036
beta4_pH[11,4]	0.427	0.019	0.390	0.426	0.465
beta4_pH[12,4]	0.535	0.044	0.448	0.533	0.624
beta4_pH[13,4]	0.836	0.033	0.770	0.836	0.900
beta4_pH[14,4]	0.876	0.060	0.766	0.874	0.995
beta4_pH[15,4]	0.617	0.018	0.581	0.617	0.654
beta4_pH[16,4]	0.664	0.043	0.583	0.663	0.751
beta4_pH[1,5]	0.640	0.368	0.201	0.558	1.544
beta4_pH[2,5]	0.874	1.033	0.118	0.593	3.410
beta4_pH[3,5]	0.868	1.031	0.114	0.597	3.110
beta4_pH[4,5]	0.743	0.617	0.201	0.621	2.025
beta4_pH[5,5]	0.742	0.733	0.108	0.563	2.553
beta4_pH[6,5]	0.921	0.811	0.206	0.743	2.913
beta4_pH[7,5]	0.888	0.433	0.341	0.815	1.926
beta4_pH[8,5]	0.728	0.593	0.132	0.589	2.134
beta4_pH[9,5]	0.809	1.000	0.127	0.585	2.909
beta4_pH[10,5]	1.508	3.136	0.006	0.390	11.828
beta4_pH[11,5]	0.308	0.082	0.154	0.305	0.473
beta4_pH[12,5]	0.874	0.287	0.466	0.819	1.595
beta4_pH[13,5]	2.557	0.352	1.906	2.550	3.276
beta4_pH[14,5]	0.856	0.202	0.521	0.839	1.307
beta4_pH[15,5]	0.927	0.076	0.801	0.920	1.098
beta4_pH[16,5]	0.951	0.382	0.388	0.886	1.879
beta0_pelagic[1]	2.267	0.036	2.201	2.266	2.341
beta0_pelagic[2]	1.538	0.007	1.524	1.538	1.551
beta0_pelagic[3]	0.138	0.273	-0.551	0.192	0.523
beta0_pelagic[4]	0.243	0.239	-0.317	0.253	0.676
beta0_pelagic[5]	1.438	0.154	1.148	1.436	1.746
beta0_pelagic[6]	1.356	0.059	1.246	1.355	1.473
beta0_pelagic[7]	1.468	0.039	1.395	1.467	1.544
beta0_pelagic[8]	1.671	0.043	1.589	1.670	1.758
beta0_pelagic[9]	2.773	0.063	2.650	2.772	2.900
beta0_pelagic[10]	2.604	0.031	2.547	2.603	2.666
beta0_pelagic[11]	-0.122	0.184	-0.516	-0.109	0.228
beta0_pelagic[12]	1.800	0.035	1.734	1.799	1.873
beta0_pelagic[13]	-1.002	0.529	-2.115	-0.973	-0.127
beta0_pelagic[14]	-0.095	0.216	-0.608	-0.054	0.213
beta0_pelagic[15]	-0.200	0.029	-0.280	-0.189	-0.174
beta0_pelagic[16]	-0.821	0.238	-1.460	-0.789	-0.442
beta1_pelagic[1]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[2]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[3]	0.821	0.315	0.361	0.758	1.649
beta1_pelagic[4]	0.807	0.262	0.344	0.793	1.426
beta1_pelagic[5]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[6]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[7]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[8]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[9]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[10]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[11]	1.145	0.254	0.667	1.133	1.664
beta1_pelagic[12]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[13]	3.409	1.195	1.690	3.137	6.379
beta1_pelagic[14]	1.592	0.541	0.858	1.461	2.886
beta1_pelagic[15]	0.076	0.145	0.000	0.010	0.566
beta1_pelagic[16]	1.954	0.353	1.412	1.907	2.929
beta2_pelagic[1]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[2]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[3]	5.814	5.878	0.154	3.941	20.498
beta2_pelagic[4]	7.747	6.181	0.327	6.419	22.145
beta2_pelagic[5]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[6]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[7]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[8]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[9]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[10]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[11]	1.960	1.663	0.282	1.403	6.499
beta2_pelagic[12]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[13]	0.154	0.077	0.064	0.140	0.343
beta2_pelagic[14]	0.992	1.116	0.157	0.557	4.479
beta2_pelagic[15]	2.632	1.936	0.158	2.221	7.429
beta2_pelagic[16]	1.507	1.139	0.243	1.154	4.702
beta3_pelagic[1]	28.657	3.975	22.320	28.488	35.196
beta3_pelagic[2]	28.904	3.906	22.303	29.054	35.215
beta3_pelagic[3]	27.530	2.845	22.845	27.268	32.671
beta3_pelagic[4]	26.299	1.776	23.007	26.299	31.654
beta3_pelagic[5]	29.882	6.659	18.637	30.406	40.540
beta3_pelagic[6]	29.530	6.645	18.607	29.779	40.484
beta3_pelagic[7]	29.369	6.636	18.553	29.164	40.372
beta3_pelagic[8]	29.738	6.546	18.649	29.929	40.496
beta3_pelagic[9]	29.240	6.599	18.514	29.134	40.240
beta3_pelagic[10]	29.514	6.738	18.511	29.452	40.441
beta3_pelagic[11]	30.011	1.286	27.281	30.000	32.995
beta3_pelagic[12]	30.000	0.000	30.000	30.000	30.000
beta3_pelagic[13]	34.198	3.533	29.215	33.770	41.560
beta3_pelagic[14]	35.237	1.908	31.808	35.005	39.510
beta3_pelagic[15]	34.219	5.797	23.615	35.256	41.741
beta3_pelagic[16]	30.354	0.767	28.804	30.330	31.993
beta0_yellow[1]	-0.487	0.027	-0.543	-0.487	-0.434
beta0_yellow[2]	0.283	0.143	-0.224	0.326	0.395
beta0_yellow[3]	-0.297	0.080	-0.487	-0.285	-0.185
beta0_yellow[4]	0.623	0.255	-0.089	0.704	0.917
beta0_yellow[5]	0.119	0.332	-0.556	0.129	0.744
beta0_yellow[6]	0.836	0.062	0.715	0.835	0.959
beta0_yellow[7]	1.116	0.032	1.054	1.115	1.178
beta0_yellow[8]	1.050	0.029	0.992	1.050	1.107
beta0_yellow[9]	0.504	0.057	0.395	0.504	0.617
beta0_yellow[10]	0.181	0.028	0.128	0.181	0.237
beta0_yellow[11]	-0.167	0.082	-0.378	-0.128	-0.093
beta0_yellow[12]	-1.097	0.027	-1.149	-1.097	-1.045
beta0_yellow[13]	-1.278	0.165	-1.676	-1.258	-1.048
beta0_yellow[14]	-0.292	0.121	-0.550	-0.261	-0.167
beta0_yellow[15]	-1.097	0.111	-1.418	-1.055	-1.018
beta0_yellow[16]	-0.282	0.012	-0.305	-0.282	-0.259
beta1_yellow[1]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[2]	1.028	0.266	0.668	0.982	1.860
beta1_yellow[3]	0.570	0.153	0.277	0.571	0.877
beta1_yellow[4]	1.310	0.492	0.720	1.163	2.685
beta1_yellow[5]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[6]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[7]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[8]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[9]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[10]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[11]	0.258	0.349	0.001	0.063	1.146
beta1_yellow[12]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[13]	0.975	0.878	0.023	0.771	3.608
beta1_yellow[14]	0.618	0.901	0.013	0.360	3.499
beta1_yellow[15]	0.178	0.240	0.011	0.080	0.801
beta1_yellow[16]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[1]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[2]	-5.383	5.693	-20.429	-3.151	-0.188
beta2_yellow[3]	-7.893	5.947	-22.366	-6.454	-0.623
beta2_yellow[4]	-4.323	5.510	-18.680	-1.551	-0.130
beta2_yellow[5]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[6]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[7]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[8]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[9]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[10]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[11]	-6.489	5.314	-20.216	-4.967	-0.260
beta2_yellow[12]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[13]	-6.112	5.436	-19.544	-4.508	-0.270
beta2_yellow[14]	-7.338	5.619	-20.351	-6.174	-0.380
beta2_yellow[15]	-7.359	5.466	-19.934	-6.410	-0.252
beta2_yellow[16]	0.000	0.000	0.000	0.000	0.000
beta3_yellow[1]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[2]	31.889	0.864	31.023	31.661	34.093
beta3_yellow[3]	32.803	1.480	30.301	32.667	36.104
beta3_yellow[4]	33.007	1.604	30.228	32.950	36.332
beta3_yellow[5]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[6]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[7]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[8]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[9]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[10]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[11]	35.159	3.706	30.382	34.177	43.273
beta3_yellow[12]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[13]	33.871	2.669	29.335	33.885	40.560
beta3_yellow[14]	34.284	3.672	29.207	33.793	43.104
beta3_yellow[15]	35.802	3.725	30.282	35.405	43.391
beta3_yellow[16]	35.000	0.000	35.000	35.000	35.000
beta0_black[1]	-0.013	0.069	-0.153	-0.009	0.124
beta0_black[2]	1.852	0.031	1.794	1.852	1.916
beta0_black[3]	1.237	0.037	1.165	1.238	1.311
beta0_black[4]	2.412	0.046	2.322	2.413	2.502
beta0_black[5]	4.876	2.287	1.874	4.404	10.731
beta0_black[6]	4.713	2.067	2.310	4.197	10.131
beta0_black[7]	3.463	1.950	1.344	2.947	9.062
beta0_black[8]	0.703	0.171	0.382	0.698	1.057
beta0_black[9]	2.641	0.228	2.219	2.636	3.092
beta0_black[10]	1.276	0.049	1.184	1.276	1.377
beta0_black[11]	3.388	0.024	3.342	3.388	3.434
beta0_black[12]	4.925	0.099	4.740	4.924	5.127
beta0_black[13]	0.243	0.190	0.009	0.200	0.693
beta0_black[14]	3.005	0.041	2.927	3.005	3.086
beta0_black[15]	1.242	0.026	1.190	1.242	1.294
beta0_black[16]	4.261	0.057	4.151	4.261	4.376
beta2_black[1]	0.000	0.000	0.000	0.000	0.000
beta2_black[2]	0.000	0.000	0.000	0.000	0.000
beta2_black[3]	0.000	0.000	0.000	0.000	0.000
beta2_black[4]	0.000	0.000	0.000	0.000	0.000
beta2_black[5]	0.000	0.000	0.000	0.000	0.000
beta2_black[6]	0.000	0.000	0.000	0.000	0.000
beta2_black[7]	0.000	0.000	0.000	0.000	0.000
beta2_black[8]	0.000	0.000	0.000	0.000	0.000
beta2_black[9]	0.000	0.000	0.000	0.000	0.000
beta2_black[10]	0.000	0.000	0.000	0.000	0.000
beta2_black[11]	0.000	0.000	0.000	0.000	0.000
beta2_black[12]	0.000	0.000	0.000	0.000	0.000
beta2_black[13]	-2.519	1.638	-6.539	-2.097	-0.425
beta2_black[14]	0.000	0.000	0.000	0.000	0.000
beta2_black[15]	0.000	0.000	0.000	0.000	0.000
beta2_black[16]	0.000	0.000	0.000	0.000	0.000
beta3_black[1]	25.000	0.000	25.000	25.000	25.000
beta3_black[2]	25.000	0.000	25.000	25.000	25.000
beta3_black[3]	25.000	0.000	25.000	25.000	25.000
beta3_black[4]	25.000	0.000	25.000	25.000	25.000
beta3_black[5]	25.000	0.000	25.000	25.000	25.000
beta3_black[6]	25.000	0.000	25.000	25.000	25.000
beta3_black[7]	25.000	0.000	25.000	25.000	25.000
beta3_black[8]	25.000	0.000	25.000	25.000	25.000
beta3_black[9]	25.000	0.000	25.000	25.000	25.000
beta3_black[10]	25.000	0.000	25.000	25.000	25.000
beta3_black[11]	25.000	0.000	25.000	25.000	25.000
beta3_black[12]	25.000	0.000	25.000	25.000	25.000
beta3_black[13]	38.613	1.278	35.877	38.859	40.253
beta3_black[14]	25.000	0.000	25.000	25.000	25.000
beta3_black[15]	25.000	0.000	25.000	25.000	25.000
beta3_black[16]	25.000	0.000	25.000	25.000	25.000
beta4_black[1]	-0.296	0.085	-0.462	-0.298	-0.125
beta4_black[2]	0.257	0.052	0.155	0.259	0.358
beta4_black[3]	-0.736	0.059	-0.851	-0.736	-0.620
beta4_black[4]	0.543	0.119	0.312	0.545	0.774
beta4_black[5]	0.730	1.748	-1.011	0.451	3.773
beta4_black[6]	0.772	1.486	-0.728	0.489	3.799
beta4_black[7]	0.716	1.597	-0.863	0.448	3.677
beta4_black[8]	0.079	0.250	-0.450	0.083	0.556
beta4_black[9]	0.925	0.764	-0.131	0.772	2.883
beta4_black[10]	0.084	0.066	-0.047	0.084	0.211
beta4_black[11]	-0.704	0.050	-0.799	-0.703	-0.606
beta4_black[12]	0.896	0.234	0.462	0.889	1.387
beta4_black[13]	-1.174	0.048	-1.265	-1.174	-1.082
beta4_black[14]	-0.063	0.113	-0.276	-0.064	0.157
beta4_black[15]	-0.481	0.036	-0.552	-0.481	-0.414
beta4_black[16]	-0.597	0.108	-0.805	-0.597	-0.374
beta0_dsr[11]	-0.338	0.009	-0.356	-0.338	-0.320
beta0_dsr[12]	1.421	0.043	1.338	1.420	1.505
beta0_dsr[13]	0.142	0.021	0.100	0.142	0.185
beta0_dsr[14]	-0.128	0.017	-0.162	-0.129	-0.095
beta0_dsr[15]	0.197	0.014	0.168	0.197	0.224
beta0_dsr[16]	0.208	0.015	0.179	0.208	0.237
beta1_dsr[11]	0.000	0.000	0.000	0.000	0.000
beta1_dsr[12]	0.000	0.000	0.000	0.000	0.000
beta1_dsr[13]	0.000	0.000	0.000	0.000	0.000
beta1_dsr[14]	0.000	0.000	0.000	0.000	0.000
beta1_dsr[15]	0.000	0.000	0.000	0.000	0.000
beta1_dsr[16]	0.000	0.000	0.000	0.000	0.000
beta4_dsr[11]	0.549	0.035	0.483	0.548	0.616
beta4_dsr[12]	0.789	0.232	0.350	0.787	1.241
beta4_dsr[13]	-0.079	0.040	-0.158	-0.079	0.001
beta4_dsr[14]	-0.214	0.073	-0.358	-0.214	-0.071
beta4_dsr[15]	0.225	0.022	0.183	0.226	0.267
beta4_dsr[16]	-0.100	0.044	-0.187	-0.101	-0.014
beta0_slope[11]	-2.198	0.021	-2.239	-2.198	-2.158
beta0_slope[12]	-5.157	0.175	-5.492	-5.159	-4.802
beta0_slope[13]	-1.473	0.034	-1.538	-1.473	-1.407
beta0_slope[14]	-2.685	0.048	-2.782	-2.683	-2.594
beta0_slope[15]	-1.589	0.022	-1.633	-1.590	-1.545
beta0_slope[16]	-3.014	0.046	-3.106	-3.014	-2.923
beta1_slope[11]	0.000	0.000	0.000	0.000	0.000
beta1_slope[12]	0.000	0.000	0.000	0.000	0.000
beta1_slope[13]	0.000	0.000	0.000	0.000	0.000
beta1_slope[14]	0.000	0.000	0.000	0.000	0.000
beta1_slope[15]	0.000	0.000	0.000	0.000	0.000
beta1_slope[16]	0.000	0.000	0.000	0.000	0.000
beta4_slope[11]	-0.345	0.076	-0.496	-0.346	-0.198
beta4_slope[12]	-4.235	0.798	-5.928	-4.204	-2.750
beta4_slope[13]	0.305	0.053	0.201	0.304	0.411
beta4_slope[14]	-0.186	0.154	-0.489	-0.184	0.117
beta4_slope[15]	-0.364	0.034	-0.431	-0.364	-0.297
beta4_slope[16]	0.218	0.104	0.012	0.217	0.415
beta5_slope[11]	3.078	0.108	2.876	3.074	3.295
beta5_slope[12]	1.571	0.410	0.810	1.554	2.416
beta5_slope[13]	0.865	0.079	0.717	0.864	1.021
beta5_slope[14]	3.776	0.357	3.151	3.753	4.554
beta5_slope[15]	1.384	0.073	1.247	1.383	1.530
beta5_slope[16]	2.724	0.231	2.288	2.718	3.199
tau_comp[1]	3.850	0.305	3.293	3.838	4.491
tau_comp[2]	2.881	0.256	2.391	2.875	3.399
tau_comp[3]	1.653	0.133	1.405	1.648	1.925
tau_comp[4]	1.344	0.211	0.980	1.328	1.799
tau_comp[5]	1.210	0.180	0.897	1.199	1.592
sigma_H[1]	0.206	0.049	0.121	0.203	0.315
sigma_H[2]	0.175	0.028	0.126	0.173	0.235
sigma_H[3]	0.188	0.040	0.117	0.184	0.275
sigma_H[4]	0.464	0.081	0.331	0.455	0.653
sigma_H[5]	0.963	0.201	0.595	0.955	1.397
sigma_H[6]	0.523	0.191	0.143	0.514	0.917
sigma_H[7]	0.310	0.062	0.211	0.301	0.454
sigma_H[8]	0.421	0.088	0.283	0.411	0.611
sigma_H[9]	0.513	0.116	0.330	0.497	0.784
sigma_H[10]	0.209	0.038	0.144	0.206	0.294
sigma_H[11]	0.266	0.043	0.194	0.262	0.361
sigma_H[12]	0.382	0.148	0.199	0.336	0.725
sigma_H[13]	0.221	0.036	0.160	0.218	0.300
sigma_H[14]	0.495	0.085	0.342	0.490	0.676
sigma_H[15]	0.228	0.038	0.164	0.225	0.310
sigma_H[16]	0.214	0.041	0.147	0.211	0.304
lambda_H[1]	2.201	3.270	0.073	1.074	11.239
lambda_H[2]	5.286	5.007	0.517	3.715	18.836
lambda_H[3]	5.577	8.219	0.266	2.685	28.511
lambda_H[4]	0.006	0.004	0.001	0.005	0.018
lambda_H[5]	3.065	8.311	0.026	0.703	24.517
lambda_H[6]	5.676	11.971	0.009	0.242	39.860
lambda_H[7]	0.012	0.009	0.002	0.010	0.033
lambda_H[8]	8.020	10.507	0.099	4.336	37.812
lambda_H[9]	0.015	0.010	0.003	0.013	0.040
lambda_H[10]	0.225	0.320	0.025	0.159	0.825
lambda_H[11]	0.236	0.331	0.010	0.113	1.077
lambda_H[12]	3.765	5.368	0.164	2.139	16.962
lambda_H[13]	3.150	3.046	0.266	2.254	11.003
lambda_H[14]	3.392	4.179	0.224	2.124	13.691
lambda_H[15]	0.018	0.019	0.003	0.014	0.062
lambda_H[16]	0.563	0.973	0.037	0.299	2.616
mu_lambda_H[1]	4.045	1.855	1.027	3.869	8.081
mu_lambda_H[2]	3.639	1.955	0.530	3.454	7.797
mu_lambda_H[3]	3.369	1.811	0.715	3.092	7.483
sigma_lambda_H[1]	8.077	4.277	1.628	7.351	17.808
sigma_lambda_H[2]	7.976	4.718	0.877	7.328	18.250
sigma_lambda_H[3]	6.166	3.977	0.961	5.287	16.377
beta_H[1,1]	6.471	1.316	3.268	6.680	8.391
beta_H[2,1]	9.764	0.624	8.450	9.799	10.944
beta_H[3,1]	7.817	0.813	5.901	7.916	9.158
beta_H[4,1]	10.671	7.597	-4.859	10.666	25.897
beta_H[5,1]	-0.250	2.545	-5.539	-0.120	4.036
beta_H[6,1]	2.958	4.460	-7.716	4.535	8.068
beta_H[7,1]	1.086	5.858	-11.764	1.529	11.651
beta_H[8,1]	1.260	3.417	-2.454	1.175	3.405
beta_H[9,1]	13.646	5.595	2.764	13.585	24.958
beta_H[10,1]	6.799	1.807	2.951	6.914	10.234
beta_H[11,1]	4.911	3.546	-3.139	5.543	9.893
beta_H[12,1]	2.609	1.118	0.572	2.525	5.020
beta_H[13,1]	9.089	0.936	7.215	9.181	10.611
beta_H[14,1]	2.133	1.021	0.045	2.143	4.203
beta_H[15,1]	-7.124	3.393	-13.543	-7.181	-0.247
beta_H[16,1]	3.749	2.966	-0.826	3.276	10.650
beta_H[1,2]	7.791	0.272	7.249	7.791	8.311
beta_H[2,2]	9.878	0.162	9.555	9.880	10.199
beta_H[3,2]	8.798	0.202	8.417	8.795	9.210
beta_H[4,2]	3.042	1.439	0.277	3.045	5.953
beta_H[5,2]	1.747	1.002	-0.210	1.758	3.664
beta_H[6,2]	5.988	1.091	3.562	6.132	7.738
beta_H[7,2]	2.432	1.089	0.547	2.331	4.843
beta_H[8,2]	3.000	1.016	1.358	3.110	4.189
beta_H[9,2]	3.191	1.079	1.096	3.172	5.338
beta_H[10,2]	8.043	0.360	7.299	8.057	8.732
beta_H[11,2]	9.818	0.626	8.880	9.717	11.219
beta_H[12,2]	3.937	0.372	3.231	3.923	4.700
beta_H[13,2]	9.144	0.244	8.700	9.137	9.621
beta_H[14,2]	4.010	0.337	3.333	4.011	4.683
beta_H[15,2]	11.560	0.622	10.281	11.576	12.743
beta_H[16,2]	4.499	0.817	3.002	4.482	6.169
beta_H[1,3]	8.448	0.260	7.981	8.434	8.972
beta_H[2,3]	9.854	0.147	9.568	9.853	10.162
beta_H[3,3]	9.465	0.169	9.153	9.459	9.813
beta_H[4,3]	-2.189	0.856	-3.869	-2.171	-0.569
beta_H[5,3]	3.878	0.614	2.641	3.872	5.051
beta_H[6,3]	8.364	1.203	6.624	8.056	10.849
beta_H[7,3]	-2.576	0.637	-3.868	-2.563	-1.380
beta_H[8,3]	5.264	0.487	4.668	5.204	6.321
beta_H[9,3]	-2.732	0.705	-4.098	-2.727	-1.370
beta_H[10,3]	8.547	0.273	8.028	8.547	9.085
beta_H[11,3]	8.501	0.289	7.869	8.528	9.012
beta_H[12,3]	5.263	0.325	4.488	5.296	5.799
beta_H[13,3]	8.855	0.180	8.483	8.862	9.190
beta_H[14,3]	5.770	0.267	5.159	5.789	6.250
beta_H[15,3]	10.268	0.292	9.718	10.263	10.850
beta_H[16,3]	6.107	0.565	4.970	6.125	7.101
beta_H[1,4]	8.103	0.184	7.717	8.119	8.428
beta_H[2,4]	9.850	0.130	9.585	9.856	10.087
beta_H[3,4]	9.946	0.155	9.613	9.956	10.217
beta_H[4,4]	11.808	0.473	10.879	11.808	12.722
beta_H[5,4]	5.562	0.731	4.355	5.493	7.209
beta_H[6,4]	7.137	0.909	5.233	7.336	8.460
beta_H[7,4]	8.555	0.350	7.841	8.561	9.238
beta_H[8,4]	6.719	0.252	6.228	6.731	7.139
beta_H[9,4]	7.436	0.452	6.572	7.435	8.320
beta_H[10,4]	7.523	0.218	7.097	7.520	7.966
beta_H[11,4]	9.496	0.194	9.132	9.496	9.875
beta_H[12,4]	7.251	0.198	6.852	7.243	7.672
beta_H[13,4]	9.053	0.144	8.758	9.057	9.325
beta_H[14,4]	7.818	0.212	7.414	7.812	8.248
beta_H[15,4]	9.472	0.221	9.048	9.472	9.908
beta_H[16,4]	9.440	0.233	9.002	9.433	9.914
beta_H[1,5]	8.906	0.154	8.584	8.914	9.200
beta_H[2,5]	10.679	0.101	10.485	10.676	10.885
beta_H[3,5]	10.760	0.163	10.469	10.753	11.091
beta_H[4,5]	8.358	0.498	7.397	8.344	9.389
beta_H[5,5]	5.186	0.604	3.728	5.257	6.160
beta_H[6,5]	8.968	0.647	7.988	8.856	10.351
beta_H[7,5]	6.567	0.347	5.911	6.560	7.282
beta_H[8,5]	8.249	0.206	7.898	8.234	8.677
beta_H[9,5]	8.194	0.460	7.286	8.187	9.100
beta_H[10,5]	10.042	0.220	9.606	10.041	10.485
beta_H[11,5]	11.586	0.225	11.147	11.581	12.051
beta_H[12,5]	8.603	0.187	8.243	8.604	8.982
beta_H[13,5]	10.133	0.134	9.881	10.128	10.408
beta_H[14,5]	9.241	0.216	8.826	9.234	9.703
beta_H[15,5]	11.299	0.230	10.840	11.302	11.740
beta_H[16,5]	9.873	0.180	9.511	9.877	10.214
beta_H[1,6]	10.122	0.246	9.740	10.085	10.741
beta_H[2,6]	11.470	0.113	11.244	11.471	11.688
beta_H[3,6]	10.620	0.155	10.293	10.628	10.904
beta_H[4,6]	12.905	0.879	11.146	12.928	14.575
beta_H[5,6]	5.672	0.653	4.551	5.622	7.027
beta_H[6,6]	8.716	0.576	7.372	8.750	9.823
beta_H[7,6]	10.577	0.600	9.397	10.580	11.733
beta_H[8,6]	9.535	0.261	9.051	9.548	9.968
beta_H[9,6]	8.301	0.759	6.880	8.275	9.861
beta_H[10,6]	9.141	0.334	8.437	9.161	9.746
beta_H[11,6]	10.695	0.365	9.884	10.734	11.306
beta_H[12,6]	9.381	0.241	8.921	9.372	9.898
beta_H[13,6]	11.064	0.156	10.766	11.063	11.377
beta_H[14,6]	9.917	0.277	9.354	9.920	10.436
beta_H[15,6]	10.530	0.417	9.733	10.517	11.363
beta_H[16,6]	10.587	0.244	10.074	10.601	11.049
beta_H[1,7]	10.148	1.304	6.672	10.468	11.950
beta_H[2,7]	12.120	0.503	10.999	12.144	13.052
beta_H[3,7]	10.277	0.677	8.750	10.337	11.420
beta_H[4,7]	1.489	4.511	-7.107	1.498	10.519
beta_H[5,7]	5.821	2.153	1.773	5.926	9.776
beta_H[6,7]	7.156	3.191	-1.026	8.218	11.091
beta_H[7,7]	7.525	2.956	1.800	7.512	13.367
beta_H[8,7]	10.893	0.936	9.159	10.885	12.715
beta_H[9,7]	4.916	3.901	-2.913	4.953	12.644
beta_H[10,7]	10.028	1.559	7.360	9.891	13.445
beta_H[11,7]	11.335	1.812	8.257	11.120	15.366
beta_H[12,7]	9.777	0.979	7.523	9.864	11.399
beta_H[13,7]	11.680	0.708	10.092	11.735	12.886
beta_H[14,7]	10.642	0.882	8.840	10.680	12.271
beta_H[15,7]	14.058	2.185	9.683	14.066	18.292
beta_H[16,7]	12.829	1.323	10.610	12.682	15.774
beta0_H[1]	8.951	18.434	-25.516	8.407	43.195
beta0_H[2]	10.116	7.793	-6.164	10.189	26.029
beta0_H[3]	9.998	9.737	-8.899	9.805	30.476
beta0_H[4]	7.290	181.459	-349.131	3.599	379.088
beta0_H[5]	4.706	30.307	-53.919	4.147	60.045
beta0_H[6]	5.804	52.110	-111.226	7.663	113.106
beta0_H[7]	4.707	140.994	-269.620	4.959	287.264
beta0_H[8]	6.204	20.941	-19.273	6.315	30.632
beta0_H[9]	6.059	123.322	-246.866	6.918	243.720
beta0_H[10]	7.257	36.913	-67.003	7.423	84.302
beta0_H[11]	9.646	52.661	-105.220	10.214	119.353
beta0_H[12]	6.976	12.450	-16.430	6.823	31.393
beta0_H[13]	9.564	10.954	-12.829	9.626	30.754
beta0_H[14]	6.787	11.191	-16.623	7.013	28.870
beta0_H[15]	7.521	118.431	-231.470	6.867	245.420
beta0_H[16]	8.726	29.199	-49.025	7.783	72.520

Rockfish Historical Harvest Estimates

Phil Joy & Adam Reimer

February 2025